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Calculates the degree to which species are either always present or always absent within clusters or types.
isamic(taxa,clustering,sort=FALSE)
a matrix or data.frame of samples, species as columns, samples as rows
if TRUE, return in order of highest value to lowest rather than input order
a data.frame of species indicator values
Calculates the constancy (fractional occurrence of each species in every type), and then calculates twice the the sum of the absolute values of the constancy - 0.5, normalized to the number of clusters (columns).
Aho, K., D.W. Roberts, and T.W.Weaver. 2008. Using geometric and non-geometric internal evaluators to compare eight vegetation classification methods. J. Veg. Sci. In press.
# NOT RUN {
data(bryceveg)
dis.bc <- dsvdis(bryceveg,'bray/curtis')
clust <- sample(1:5,nrow(bryceveg),replace=TRUE)
isamic(bryceveg,clust)
# }
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